Match!

Echo State Networks as Novel Approach for Low-Cost Myoelectric Control

Published on Jun 21, 2017 in AIME (Artificial Intelligence in Medicine in Europe)
· DOI :10.1007/978-3-319-59758-4_40
Cosima Prahm5
Estimated H-index: 5
(Medical University of Vienna),
Alexander Schulz38
Estimated H-index: 38
(Bielefeld University)
+ 3 AuthorsGeorg Dorffner27
Estimated H-index: 27
(Medical University of Vienna)
Abstract
Myoelectric signals (EMG) provide an intuitive and rapid interface for controlling technical devices, in particular bionic arm prostheses. However, inferring the intended movement from a surface EMG recording is a non-trivial pattern recognition task, especially if the data stems from low-cost sensors. At the same time, overly complex models are prohibited by strict speed, data parsimony and robustness requirements. As a compromise between high accuracy and strict requirements we propose to apply Echo State Networks (ESNs), which extend standard linear regression with (1) a memory and (2) nonlinearity. Results show that both features, memory and nonlinearity, independently as well as in conjunction, improve the prediction accuracy on simultaneous movements in two degrees of freedom (hand opening/closing and pronation/supination) recorded from four able-bodied participants using a low-cost 8-electrode-array. However, it was also shown that the model is still not sufficiently resistant to external disturbances such as electrode shift.
  • References (19)
  • Citations (2)
References19
Newest
Jan 1, 2017 in ESANN (The European Symposium on Artificial Neural Networks)
#1Benjamin Paaßen (Citec)H-Index: 7
#2Alexander Schulz (Citec)H-Index: 38
Last.Barbara Hammer (Citec)H-Index: 33
view all 4 authors...
#1Cosima Prahm (Medical University of Vienna)H-Index: 5
#2Benjamin Paaßen (Citec)H-Index: 7
Last.Oskar C. Aszmann (Medical University of Vienna)H-Index: 25
view all 5 authors...
#1Ivan Vujaklija (GAU: University of Göttingen)H-Index: 11
#2Dario FarinaH-Index: 76
Last.Oskar C. Aszmann (Medical University of Vienna)H-Index: 25
view all 3 authors...
#1Lizhi Pan (SJTU: Shanghai Jiao Tong University)H-Index: 4
#2Dingguo Zhang (SJTU: Shanghai Jiao Tong University)H-Index: 20
Last.Xiangyang Zhu (SJTU: Shanghai Jiao Tong University)H-Index: 23
view all 5 authors...
Mar 1, 2015 in VR (IEEE Virtual Reality Conference)
#1Ivan Phelan (SHU: Sheffield Hallam University)H-Index: 2
#2Madelynne A. Arden (SHU: Sheffield Hallam University)H-Index: 17
Last.Chris Roast (SHU: Sheffield Hallam University)H-Index: 13
view all 4 authors...
#1Dario Farina (GAU: University of Göttingen)H-Index: 76
#2Ning Jiang (GAU: University of Göttingen)H-Index: 29
Last.Oskar C. Aszmann (Medical University of Vienna)H-Index: 25
view all 7 authors...
Jan 1, 2014 in NeurIPS (Neural Information Processing Systems)
#1Luca Pasa (UNIPD: University of Padua)H-Index: 3
#2Alessandro Sperduti (UNIPD: University of Padua)H-Index: 27
Cited By2
Newest
Sep 28, 2016 in ICCCI (International Conference on Computational Collective Intelligence)
#1Martin TabakovH-Index: 2
#2Krzysztof FonalH-Index: 2
Last.Rami Qahwaji (University of Bradford)H-Index: 16
view all 4 authors...
View next paperApplication of Genetic Algorithm for Optimization of Data in Surface Myoelectric Prosthesis for the Transradial Amputee